Ga Eun Park

19 papers receiving 277 citations

Peers

Ga Eun Park
Comparison fields: 5 of 57
  • Infectious Diseases 203
  • Modeling and Simulation 31
  • Neurology 55
  • Molecular Medicine 12
  • Critical Care and Intensive Care Medicine 11
Replace Elif Sargın Altunok with:
Elif Sargın Altunok Türkiye
Süda Tekin Türkiye
Mahmoud Sadeghi Haddad Zavareh Iran
Charlotte Kaeuffer France
Gülçin Telli Dizman Türkiye
Wenlong He China
Anvar Hassan Kaleeckal Qatar
Fatemeh Zali Iran
Alexander M. Chong United States
Yuki Miyajima Japan
Ga Eun Park relative to Elif Sargın Altunok Türkiye Elif Sargın Altunok's profile →
Citations per field
00.5×4.8×
Elif Sargın Altunok · 1×
Citations per year

Countries citing papers authored by Ga Eun Park

Since Specialization
Citations

This map shows the geographic impact of Ga Eun Park's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ga Eun Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ga Eun Park more than expected).

Fields of papers citing papers by Ga Eun Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ga Eun Park. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ga Eun Park. The network helps show where Ga Eun Park may publish in the future.

Co-authors

The 25 scholars most cited alongside Ga Eun Park, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ga Eun Park Line = papers co-authored together Ga Eun Park links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016103
2 201760
3 201731
4 201615
5 201814
6 20179
7 20219
8 20158
9 20217
10 20176
11 20214
12 20213
13 20203
14 20213
15 20183
16 20143
17 20152
18 20201
19 20211
20 20141

About Ga Eun Park

Ga Eun Park is a scholar working on Infectious Diseases, Epidemiology, Molecular Medicine, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 286 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (3 papers), Infection Control and Ventilation (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Nosocomial Infections in ICU (2 papers), Gastric Cancer Management and Outcomes (2 papers) and Antibiotics Pharmacokinetics and Efficacy (2 papers). The work is most often cited by research in Infectious Diseases (203 citations), Modeling and Simulation (31 citations), Neurology (55 citations), Molecular Medicine (12 citations) and Critical Care and Intensive Care Medicine (11 citations). Ga Eun Park has collaborated with scholars based in South Korea, United Kingdom and United States. Frequent co-authors include Kyong Ran Peck, Jae‐Hoon Ko, Cheol‐In Kang, Doo Ryeon Chung, Sun Young Cho, Young Eun Ha, Yae‐Jean Kim, Ji‐Man Kang, Chi Ryang Chung and Jae‐Hoon Song. Their work appears in journals such as Gastrointestinal Endoscopy, Academic Radiology, International Journal of Environmental Research and Public Health, International Journal of Infectious Diseases and Antimicrobial Agents and Chemotherapy.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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